Search Results for author:
Found 8 papers, 2 papers with code
Fine-tuning Distributional Semantic Models for Closely-Related Languages
In this paper we compare the performance of three models: SGNS (skip-gram negative sampling) and augmented versions of SVD (singular value decomposition) and PPMI (Positive Pointwise Mutual Information) on a word similarity task.
XInfoTabS: Evaluating Multilingual Tabular Natural Language Inference
In this paper, we use machine translation methods to construct a multilingual tabular NLI dataset, namely XINFOTABS, which expands the English tabular NLI dataset of INFOTABS to ten diverse languages.
Sketch-Plan-Generalize: Continual Few-Shot Learning of Inductively Generalizable Spatial Concepts for Language-Guided Robot Manipulation
Our goal is to build embodied agents that can learn inductively generalizable spatial concepts in a continual manner, e. g, constructing a tower of a given height.
MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models
Prior work on multilingual evaluation has shown that there is a large gap between the performance of LLMs on English and other languages.
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks
We also perform a study on data contamination and find that several models are likely to be contaminated with multilingual evaluation benchmarks, necessitating approaches to detect and handle contamination while assessing the multilingual performance of LLMs.
Evaluating Inter-Bilingual Semantic Parsing for Indian Languages
Despite significant progress in Natural Language Generation for Indian languages (IndicNLP), there is a lack of datasets around complex structured tasks such as semantic parsing.
A Review of Deep Learning Techniques for Protein Function Prediction
Deep Learning and big data have shown tremendous success in bioinformatics and computational biology in recent years; artificial intelligence methods have also significantly contributed in the task of protein function classification.
IndicXNLI: Evaluating Multilingual Inference for Indian Languages
While Indic NLP has made rapid advances recently in terms of the availability of corpora and pre-trained models, benchmark datasets on standard NLU tasks are limited.
